• DocumentCode
    1630733
  • Title

    Object measurement and reconstruction with a single-camera

  • Author

    Sakai, Azusa ; Yoshida, Yosinori ; Hara, Ryouta ; Suzuki, Satoshi ; Furuta, Katsuhisa

  • Author_Institution
    Dept. of Comput. & Syst. Eng., Tokyo Denki Univ., Saitama, Japan
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2469
  • Abstract
    This paper proposes a method for detecting edges of objects from 2D-camera image and reconstruction of the 3D-information by using a single movable camera. An adaptive VS-differentiator is used in this study for the edge detection. Apexes of the object are detected by checking the pixel layout patterns. Assuming that the camera can be moved correctly in workspace, the 3D coordinate values can be estimated by the recursive least square method. By experiment we show the effectiveness of the proposed method.
  • Keywords
    cameras; edge detection; image reconstruction; least squares approximations; object detection; 2D-camera image; adaptive VS-differentiator; edge detection; image reconstruction; object detection; object measurement; recursive least square method; single movable camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2004 Annual Conference
  • Conference_Location
    Sapporo
  • Print_ISBN
    4-907764-22-7
  • Type

    conf

  • Filename
    1491863